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<h1><a href="firebaseml_v1beta2.html">Firebase ML API</a> . <a href="firebaseml_v1beta2.projects.html">projects</a> . <a href="firebaseml_v1beta2.projects.models.html">models</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
  <code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
  <code><a href="#create">create(parent, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Creates a model in Firebase ML. The longrunning operation will eventually return a Model</p>
<p class="toc_element">
  <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
<p class="firstline">Deletes a model</p>
<p class="toc_element">
  <code><a href="#download">download(name, x__xgafv=None)</a></code></p>
<p class="firstline">Gets Download information for a model. This is meant for downloading model resources onto devices. It gives very limited information about the model.</p>
<p class="toc_element">
  <code><a href="#get">get(name, x__xgafv=None)</a></code></p>
<p class="firstline">Gets a model resource.</p>
<p class="toc_element">
  <code><a href="#list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">Lists the models</p>
<p class="toc_element">
  <code><a href="#list_next">list_next()</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
  <code><a href="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p>
<p class="firstline">Updates a model. The longrunning operation will eventually return a Model.</p>
<h3>Method Details</h3>
<div class="method">
    <code class="details" id="close">close()</code>
  <pre>Close httplib2 connections.</pre>
</div>

<div class="method">
    <code class="details" id="create">create(parent, body=None, x__xgafv=None)</code>
  <pre>Creates a model in Firebase ML. The longrunning operation will eventually return a Model

Args:
  parent: string, Required. The parent project resource where the model is to be created. The parent must have the form `projects/{project_id}` (required)
  body: object, The request body.
    The object takes the form of:

{ # An ML model hosted in Firebase ML
  &quot;activeOperations&quot;: [ # Output only. Lists operation ids associated with this model whose status is NOT done.
    { # This resource represents a long-running operation that is the result of a network API call.
      &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
      &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
        &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
        &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
          {
            &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
          },
        ],
        &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
      },
      &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
      &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
      &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    },
  ],
  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this model was created in Firebase ML.
  &quot;displayName&quot;: &quot;A String&quot;, # Required. The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
  &quot;etag&quot;: &quot;A String&quot;, # Output only. See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
  &quot;modelHash&quot;: &quot;A String&quot;, # Output only. The model_hash will change if a new file is available for download.
  &quot;name&quot;: &quot;A String&quot;, # The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
  &quot;state&quot;: { # State common to all model types. Includes publishing and validation information. # State common to all model types. Includes publishing and validation information.
    &quot;published&quot;: True or False, # Indicates if this model has been published.
    &quot;validationError&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
      &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
      &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
        {
          &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
        },
      ],
      &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    },
  },
  &quot;tags&quot;: [ # User defined tags which can be used to group/filter models during listing
    &quot;A String&quot;,
  ],
  &quot;tfliteModel&quot;: { # Information that is specific to TfLite models. # A TFLite Model
    &quot;automlModel&quot;: &quot;A String&quot;, # The AutoML model id referencing a model you created with the AutoML API. The name should have format &#x27;projects//locations//models/&#x27; (This is the model resource name returned from the AutoML API)
    &quot;gcsTfliteUri&quot;: &quot;A String&quot;, # The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    &quot;sizeBytes&quot;: &quot;A String&quot;, # Output only. The size of the TFLite model
  },
  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this model was updated in Firebase ML.
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
    &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    ],
    &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
  &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
}</pre>
</div>

<div class="method">
    <code class="details" id="delete">delete(name, x__xgafv=None)</code>
  <pre>Deletes a model

Args:
  name: string, Required. The name of the model to delete. The name must have the form `projects/{project_id}/models/{model_id}` (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
}</pre>
</div>

<div class="method">
    <code class="details" id="download">download(name, x__xgafv=None)</code>
  <pre>Gets Download information for a model. This is meant for downloading model resources onto devices. It gives very limited information about the model.

Args:
  name: string, Required. The name of the model to download. The name must have the form `projects/{project}/models/{model}` (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The response for downloading a model to device.
  &quot;downloadUri&quot;: &quot;A String&quot;, # Output only. A download URI for the model/zip file.
  &quot;expireTime&quot;: &quot;A String&quot;, # Output only. The time that the download URI link expires. If the link has expired, the REST call must be repeated.
  &quot;modelFormat&quot;: &quot;A String&quot;, # Output only. The format of the model being downloaded.
  &quot;sizeBytes&quot;: &quot;A String&quot;, # Output only. The size of the file(s), if this information is available.
}</pre>
</div>

<div class="method">
    <code class="details" id="get">get(name, x__xgafv=None)</code>
  <pre>Gets a model resource.

Args:
  name: string, Required. The name of the model to get. The name must have the form `projects/{project_id}/models/{model_id}` (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # An ML model hosted in Firebase ML
  &quot;activeOperations&quot;: [ # Output only. Lists operation ids associated with this model whose status is NOT done.
    { # This resource represents a long-running operation that is the result of a network API call.
      &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
      &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
        &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
        &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
          {
            &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
          },
        ],
        &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
      },
      &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
      &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
      &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    },
  ],
  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this model was created in Firebase ML.
  &quot;displayName&quot;: &quot;A String&quot;, # Required. The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
  &quot;etag&quot;: &quot;A String&quot;, # Output only. See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
  &quot;modelHash&quot;: &quot;A String&quot;, # Output only. The model_hash will change if a new file is available for download.
  &quot;name&quot;: &quot;A String&quot;, # The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
  &quot;state&quot;: { # State common to all model types. Includes publishing and validation information. # State common to all model types. Includes publishing and validation information.
    &quot;published&quot;: True or False, # Indicates if this model has been published.
    &quot;validationError&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
      &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
      &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
        {
          &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
        },
      ],
      &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    },
  },
  &quot;tags&quot;: [ # User defined tags which can be used to group/filter models during listing
    &quot;A String&quot;,
  ],
  &quot;tfliteModel&quot;: { # Information that is specific to TfLite models. # A TFLite Model
    &quot;automlModel&quot;: &quot;A String&quot;, # The AutoML model id referencing a model you created with the AutoML API. The name should have format &#x27;projects//locations//models/&#x27; (This is the model resource name returned from the AutoML API)
    &quot;gcsTfliteUri&quot;: &quot;A String&quot;, # The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    &quot;sizeBytes&quot;: &quot;A String&quot;, # Output only. The size of the TFLite model
  },
  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this model was updated in Firebase ML.
}</pre>
</div>

<div class="method">
    <code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
  <pre>Lists the models

Args:
  parent: string, Required. The name of the parent to list models for. The parent must have the form `projects/{project_id}&#x27; (required)
  filter: string, A filter for the list e.g. &#x27;tags: abc&#x27; to list models which are tagged with &quot;abc&quot;
  pageSize: integer, The maximum number of items to return
  pageToken: string, The next_page_token value returned from a previous List request, if any.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The response for list models
  &quot;models&quot;: [ # The list of models
    { # An ML model hosted in Firebase ML
      &quot;activeOperations&quot;: [ # Output only. Lists operation ids associated with this model whose status is NOT done.
        { # This resource represents a long-running operation that is the result of a network API call.
          &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
          &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
            &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
            &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
              {
                &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
              },
            ],
            &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
          },
          &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
            &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
          },
          &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
          &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
            &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
          },
        },
      ],
      &quot;createTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this model was created in Firebase ML.
      &quot;displayName&quot;: &quot;A String&quot;, # Required. The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
      &quot;etag&quot;: &quot;A String&quot;, # Output only. See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
      &quot;modelHash&quot;: &quot;A String&quot;, # Output only. The model_hash will change if a new file is available for download.
      &quot;name&quot;: &quot;A String&quot;, # The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
      &quot;state&quot;: { # State common to all model types. Includes publishing and validation information. # State common to all model types. Includes publishing and validation information.
        &quot;published&quot;: True or False, # Indicates if this model has been published.
        &quot;validationError&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
          &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
          &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
            {
              &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
            },
          ],
          &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
        },
      },
      &quot;tags&quot;: [ # User defined tags which can be used to group/filter models during listing
        &quot;A String&quot;,
      ],
      &quot;tfliteModel&quot;: { # Information that is specific to TfLite models. # A TFLite Model
        &quot;automlModel&quot;: &quot;A String&quot;, # The AutoML model id referencing a model you created with the AutoML API. The name should have format &#x27;projects//locations//models/&#x27; (This is the model resource name returned from the AutoML API)
        &quot;gcsTfliteUri&quot;: &quot;A String&quot;, # The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
        &quot;sizeBytes&quot;: &quot;A String&quot;, # Output only. The size of the TFLite model
      },
      &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this model was updated in Firebase ML.
    },
  ],
  &quot;nextPageToken&quot;: &quot;A String&quot;, # Token to retrieve the next page of results, or empty if there are no more results in the list.
}</pre>
</div>

<div class="method">
    <code class="details" id="list_next">list_next()</code>
  <pre>Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call &#x27;execute()&#x27; on to request the next
          page. Returns None if there are no more items in the collection.
        </pre>
</div>

<div class="method">
    <code class="details" id="patch">patch(name, body=None, updateMask=None, x__xgafv=None)</code>
  <pre>Updates a model. The longrunning operation will eventually return a Model.

Args:
  name: string, The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model. (required)
  body: object, The request body.
    The object takes the form of:

{ # An ML model hosted in Firebase ML
  &quot;activeOperations&quot;: [ # Output only. Lists operation ids associated with this model whose status is NOT done.
    { # This resource represents a long-running operation that is the result of a network API call.
      &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
      &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
        &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
        &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
          {
            &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
          },
        ],
        &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
      },
      &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
      &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
      &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    },
  ],
  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this model was created in Firebase ML.
  &quot;displayName&quot;: &quot;A String&quot;, # Required. The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
  &quot;etag&quot;: &quot;A String&quot;, # Output only. See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
  &quot;modelHash&quot;: &quot;A String&quot;, # Output only. The model_hash will change if a new file is available for download.
  &quot;name&quot;: &quot;A String&quot;, # The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
  &quot;state&quot;: { # State common to all model types. Includes publishing and validation information. # State common to all model types. Includes publishing and validation information.
    &quot;published&quot;: True or False, # Indicates if this model has been published.
    &quot;validationError&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
      &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
      &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
        {
          &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
        },
      ],
      &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    },
  },
  &quot;tags&quot;: [ # User defined tags which can be used to group/filter models during listing
    &quot;A String&quot;,
  ],
  &quot;tfliteModel&quot;: { # Information that is specific to TfLite models. # A TFLite Model
    &quot;automlModel&quot;: &quot;A String&quot;, # The AutoML model id referencing a model you created with the AutoML API. The name should have format &#x27;projects//locations//models/&#x27; (This is the model resource name returned from the AutoML API)
    &quot;gcsTfliteUri&quot;: &quot;A String&quot;, # The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    &quot;sizeBytes&quot;: &quot;A String&quot;, # Output only. The size of the TFLite model
  },
  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this model was updated in Firebase ML.
}

  updateMask: string, The update mask
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
    &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    ],
    &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
  &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
}</pre>
</div>

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